orjson pour sérialiser les sorties API

pyproject.toml

@@ -21,6 +21,7 @@ dependencies = [
   "duckdb",
   "flask-caching",
   "pyarrow>=23.0.1",
+  "orjson",
   "flask-cors>=6.0.2",
   "flask-smorest>=0.46.0",
   "marshmallow>=3.20.0",

src/api/routes.py

@@ -1,4 +1,5 @@
-from flask import g, request
+import orjson
+from flask import Response, g, request
 from flask_smorest import Blueprint, abort
 
 from src.api import tracking
@@ -172,9 +173,6 @@ def data():
     Exemple d'agrégation :
     `?acheteur_departement_code__groupby&uid__count&montant__sum`
     """
-    import polars as pl
-    import polars.selectors as cs
-
     page, page_size = _parse_pagination()
     columns = _parse_columns()
     count_results = request.args.get("count_results", "true").lower() != "false"
@@ -201,16 +199,20 @@ def data():
             limit=page_size,
             offset=(page - 1) * page_size,
         )
-        df_ready = df.with_columns(cs.temporal().cast(pl.String))
         # Si la page est partielle, on connaît le total exact ; sinon on ne sait pas.
         agg_total = (
             (page - 1) * page_size + df.height if df.height < page_size else None
         )
-        return {
+        return Response(
-            "data": df_ready.to_dicts(),
+            orjson.dumps(
-            "meta": {"page": page, "page_size": page_size},
+                {
-            "links": _build_links(page, page_size, agg_total),
+                    "data": df.to_dicts(),
-        }
+                    "meta": {"page": page, "page_size": page_size},
+                    "links": _build_links(page, page_size, agg_total),
+                }
+            ),
+            mimetype="application/json",
+        )
 
     df = query_marches(
         where_sql=where_sql,
@@ -221,16 +223,18 @@ def data():
         offset=(page - 1) * page_size,
     )
 
-    # JSON ne sérialise pas date/datetime nativement → cast en string ISO
-    df_ready = df.with_columns(cs.temporal().cast(pl.String))
-
     total = count_marches(where_sql, params) if count_results else None
     meta = {"page": page, "page_size": page_size}
     if total is not None:
         meta["total"] = total
 
-    return {
+    return Response(
-        "data": df_ready.to_dicts(),
+        orjson.dumps(
-        "meta": meta,
+            {
-        "links": _build_links(page, page_size, total),
+                "data": df.to_dicts(),
-    }
+                "meta": meta,
+                "links": _build_links(page, page_size, total),
+            }
+        ),
+        mimetype="application/json",
+    )

tests/api/benchmark.py

@@ -13,9 +13,6 @@ Usage :
 Par défaut, --url pointe vers la production decp.info ; data.gouv.fr est
 interrogé sans authentification.
 
-AVERTISSEMENT : les deux bases n'ont pas le même volume (data.gouv.fr ~3M
-lignes, decp.info ~1,5M). C'est une comparaison d'implémentation, pas à
-volume égal.
 """
 
 import argparse

uv.lock

@@ -799,7 +799,7 @@ wheels = [
 
 [[package]]
 name = "decp-info"
-version = "2.7.9"
+version = "2.8.1"
 source = { virtual = "." }
 dependencies = [
     { name = "dash", extra = ["compress"] },
@@ -815,6 +815,7 @@ dependencies = [
     { name = "gunicorn" },
     { name = "httpx" },
     { name = "marshmallow" },
+    { name = "orjson" },
     { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
     { name = "pandas", version = "3.0.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "plotly", extra = ["express"] },
@@ -850,6 +851,7 @@ requires-dist = [
     { name = "gunicorn" },
     { name = "httpx" },
     { name = "marshmallow", specifier = ">=3.20.0" },
+    { name = "orjson" },
     { name = "pandas" },
     { name = "plotly", extras = ["express"] },
     { name = "polars" },
@@ -1647,6 +1649,87 @@ wheels = [
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 ]
 
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+version = "3.11.9"
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